Let's talk about LLMs(b-list.org)
161 points by cdrnsf | 142 comments
First screen, captured .
Looks similar
Yet Another LLM Rant(overengineer.dev)
19 points by sohkamyung | 16 comments
World Models(ankitmaloo.com)
18 points by ankit219 | 2 comments
Related stories
GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2(arrowtsx.dev)
474 points by oshrimpton | 235 comments
Blog post arguing that bigger AI models are not better, comparing benchmark and hallucination rates of GLM-5.2, GPT-5.5, Opus 4.8, DeepSeek V4 and others.
Something weird is happening with LLMs and chess(dynomight.substack.com)
626 points by crescit_eundo | 424 comments
A Dynomight newsletter post examining how well large language models play chess and why results vary strangely across models.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.
Training LLMs from ground zero as a startup(yitay.net)
360 points by swyx | 92 comments
Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.
Train Your Own LLM from Scratch(github.com)
376 points by kristianpaul | 43 comments
GitHub repository by angelos-p providing code and docs for training your own large language model from scratch.
AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.